Summary of Gpt-4’s Assessment Of Its Performance in a Usmle-based Case Study, by Uttam Dhakal et al.
GPT-4’s assessment of its performance in a USMLE-based case study
by Uttam Dhakal, Aniket Kumar Singh, Suman Devkota, Yogesh Sapkota, Bishal Lamichhane, Suprinsa Paudyal, Chandra Dhakal
First submitted to arxiv on: 15 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA); Machine Learning (stat.ML)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study investigates the performance assessment of GPT-4 in healthcare applications using a simple prompting technique. The large language model (LLM) was prompted with USMLE questionnaire questions, asked to evaluate its confidence score before and after asking each question, and provided absolute and relative scores. The findings were analyzed statistically to examine variability in confidence for questions with feedback (WF) and those without feedback (NF). A sequential analysis was also conducted to observe performance variation. Results show that feedback influences relative confidence but does not consistently increase or decrease it. This study contributes to the discussion on AI reliability, particularly LLMs like GPT-4, in healthcare, offering insights into optimizing feedback mechanisms for AI-assisted medical education and decision support. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary GPT-4 is a powerful tool that can be used in healthcare applications. The study looks at how well it does this by giving it questions from the USMLE test and asking it to rate its own confidence before and after answering each question. It also looks at how feedback affects GPT-4’s confidence. The results show that feedback makes a difference, but it’s not always in the same direction. This study helps us understand how well AI tools like GPT-4 can be used in healthcare. |
Keywords
» Artificial intelligence » Gpt » Large language model » Prompting
